{"id":"W1534762711","doi":"10.1109/glocom.1988.26127","title":"Colored generalized stochastic Petri nets for integrated system protocol performance modelling","year":2003,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Colored; Stochastic Petri net; Queueing theory; Synchronization (alternating current); Petri net; Concurrency; Protocol (science); Distributed computing; Markov process; Process (computing); Theoretical computer science; Stochastic modelling; Software; Identification (biology); Programming language; Computer network; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608864,0.001577955,0.0008712519,0.001069126,0.0004393055,0.001465655,0.001830353,0.001030154,0.002463151],"category_scores_gemma":[0.003008566,0.0005378177,0.001414939,0.001142825,0.001149584,0.001752011,0.0008418346,0.001594172,0.0005653059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248618,"about_ca_system_score_gemma":0.00160089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008289364,"about_ca_topic_score_gemma":0.006086798,"domain_scores_codex":[0.9987092,0.0005720931,0.00007989664,0.0001402577,0.0003924273,0.0001062108],"domain_scores_gemma":[0.9988806,0.0006203482,0.0001200096,0.0001365464,0.0001987168,0.00004381357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002793161,0.00002021439,0.000251034,0.00006928247,0.00003825222,0.000119652,0.00007039546,0.7692906,0.001381573,0.2146377,0.0008212908,0.01327219],"study_design_scores_gemma":[0.000005502482,0.00001103338,0.00003559454,0.00001231739,0.00001146444,0.00001648269,0.000007074591,0.942529,0.0004513197,0.05449817,0.002412801,0.000009286435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002380248,0.0002190889,0.9946927,0.00009271801,0.00007288758,0.00003955542,0.00006861314,0.0003417474,0.002092337],"genre_scores_gemma":[0.4153017,0.001698913,0.5722714,0.0002440644,0.000188321,0.0006187262,0.0005547707,0.0002613632,0.008860642],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008289364,"threshold_uncertainty_score":0.01648223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517264029761944,"score_gpt":0.272143144714093,"score_spread":0.2269705044164735,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}